You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload.
What should you do?

• A. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instance group for the cluster using the gcloud command.
• B. Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.
• C. Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.
• D. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCP Console.

Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

• A. Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
• B. Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
• C. Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
• D. Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.

You are migrating a critical, on-premises, three-tier ecommerce application to Google Cloud. The application has tightly coupled dependencies between its web, application, and database tiers. The business has strict performance and availability requirements and is concerned about the risks associated with an " all-at-once " migration. You want to follow Google-recommended practices to create a migration plan that systematically addresses application dependencies and validates post-migration performance before the final production cutover What should you do?

• A. Prioritize the establishment of a high-bandwidth, low-latency Cloud Interconnect connection, and then plan to migrate the database servers first.
• B. Redesign the application to be cloud-native using microservices before migration to eliminate dependencies and simplify workload testing.
• C. Use dependency mapping to group application components into waves, create a phased migration plan, and incorporate performance testing for each wave.
• D. Plan a " lift and shift " migration for all application tiers to be executed simultaneously over a single weekend to minimize downtime.

You need to optimize batch file transfers into Cloud Storage for Mountkirk Games' new Google Cloud solution.
The batch files contain game statistics that need to be staged in Cloud Storage and be processed by an extract transform load (ETL) tool. What should you do?

• A. Use gsutil to extract the files as the first part of ETL.
• B. Use gsutil to load the files as the last part of ETL.
• C. Use gsutil to batch copy the files in parallel.
• D. Use gsutil to batch move files in sequence.

You are developing a deep learning model that requires high-performance access to large volumes of media data currently stored in Cloud Storage. Model training will be executed on multiple VM instances with GPUs attached, but your application must interact with the data as if it were on the local file system. You need to minimize complexity and cost. What should you do?

• A. Use the gcsfuse command line tool to mount the Cloud Storage bucket as a local file system, and perform read/write operations in your bucket using standard file system semantics.
• B. Copy the data from Cloud Storage to Filestore, and then mount the Filestore volume as a local file system on your VM instances.
• C. Create a shared persistent disk, attach the disk to your VM instances, and load data from the Cloud Storage bucket.
• D. Use the gsutil command line tool to download the data to your VM instances.